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Semantic search technology for information retrieval on the web

Published: 01 July 2007 Publication History

Abstract

The fundamental issue of imprecise search results arises owing to the misrepresentation of data on the web. Although a large number of theoretical models have been reported in literature, their implementation in the real world is still at an initial stage. This research is a systematic investigation on the underlying basis of ontologies, intelligent agents and semantic mechanisms. A solution is to put into action, the envisioned, 'Semantic web', by annotating/manipulating web pages using XML-based technologies, creating ontology for providing an RDF vocabulary in a hierarchical class structure and developing an intelligent agent, which would be capable of database access, comparison and inference. The system designed here is to enable a machine to 'understand' the information it holds, which in turn would greatly facilitate smart searching. This paper presents that the system has been successfully implemented and achieves accurate search results.

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Published In

cover image International Journal of Agent-Oriented Software Engineering
International Journal of Agent-Oriented Software Engineering  Volume 1, Issue 2
July 2007
135 pages
ISSN:1746-1375
EISSN:1746-1383
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Inderscience Publishers

Geneva 15, Switzerland

Publication History

Published: 01 July 2007

Author Tags

  1. DAML
  2. DARPA Agent Mark-up Language
  3. RDF
  4. Resource Description Framework
  5. XML
  6. agent-based systems
  7. agent-oriented software
  8. agents
  9. eXtensible Markup Language
  10. information access
  11. information retrieval
  12. intelligent agents
  13. internet
  14. multi-agent systems
  15. ontologies
  16. semantic mechanisms
  17. semantic web

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  • (2018)An agent-oriented approach to holistic sustainability reportingInternational Journal of Agent-Oriented Software Engineering10.1504/IJAOSE.2015.0784345:1(1-21)Online publication date: 13-Dec-2018

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